{"id":"W1983585394","doi":"10.1016/j.foreco.2010.01.007","title":"Carbon budget of Ontario's managed forests and harvested wood products, 2001–2100","year":2010,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Forest ecology and management","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Natural Resources and Forestry; Ontario Forest Research Institute","funders":"U.S. Forest Service; Government of Ontario","keywords":"Forest inventory; Forest management; Environmental science; Sustainable forest management; Forestry; Carbon accounting; Carbon stock; Greenhouse gas; Wood production; Disturbance (geology); Agroforestry; Climate change; Geography; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002023936,0.0001570201,0.0001570222,0.0007184596,0.001166151,0.0007132636,0.0003893154,0.0002064821,0.001327924],"category_scores_gemma":[0.0006118463,0.000236945,0.000243066,0.001706043,0.0003378876,0.0003016597,0.0003050888,0.0002255993,0.0002128547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02311647,"about_ca_system_score_gemma":0.01415138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9910581,"about_ca_topic_score_gemma":0.9980106,"domain_scores_codex":[0.9998288,0.00001047834,0.00001049951,0.00002060536,0.00008951447,0.00004003732],"domain_scores_gemma":[0.9993488,0.00003410827,0.0001245849,0.00001589278,0.0003738603,0.0001027077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006159795,0.00006502433,0.9498269,0.0002318338,0.0002957639,0.0003506669,0.001656586,0.003649187,0.00378592,0.001141434,0.01848279,0.01989791],"study_design_scores_gemma":[0.00001162157,0.000007410445,0.9916912,0.00001389314,0.00002318207,0.00003211049,0.0003312475,0.0006683495,0.0001799706,0.00003543487,0.006999839,0.000005655809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695662,0.000712381,0.000119097,0.0006272523,0.00001472068,0.00002318556,0.01968614,0.00001625373,0.009234832],"genre_scores_gemma":[0.9819435,0.0004965471,0.0002387419,0.00007599565,0.000008194618,0.00001856638,0.004926903,0.000009672375,0.01228199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02311647,"threshold_uncertainty_score":0.1677225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004566625005716349,"score_gpt":0.1879346811483964,"score_spread":0.1833680561426801,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}